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Experts’ dismissal of Tesla’s Full Self Driving push proves Elon Musk is still not taken seriously
Despite delays, Elon Musk remains optimistic that Tesla’s efforts to achieve Full Self Driving will bear fruit soon. This was highlighted in a statement during his appearance at the recently held 2020 World Artificial Intelligence Conference in China, where he noted that Tesla is closing in on “Level 5” functionalities. Experts in the field of automation beg to differ.
In a recent statement to Automotive News, Sam Abuelsamid, principal analyst at Guidehouse Insights (formerly Navigant Research) and Missy Cummings, director of the Humans and Autonomy Laboratory at Duke University, openly dismissed Tesla’s efforts to achieve full self driving. In a scathing rebuke, Abuelsamid described Musk’s targets as absurd. He also expressed his pessimism about Tesla’s approach to automation, which focuses on vision and artificial intelligence.
“The cars they are building will never be Level 5, period. It’s nonsense. He needs to shut up until he can deliver something. The premise of making highly automated systems on cameras alone is fundamentally flawed. Their approach to software doing end-to-end AI systems is almost certainly not going to work. I don’t believe it can work. AI is too brittle,” he said.
It should be noted that Abuelsamid recently published a study ranking companies that are currently pursuing autonomy. Similar to studies conducted by Guidehouse Insights when it was still operating as Navigant Research, Abuelsamid ranked Tesla dead last, even behind startups like Navya, which have limited real world driving data.
Abuelsamid’s sentiments were echoed by Missy Cummings, who also argued that there is no way that Tesla could achieve Level 5 autonomy with its vehicles. In a statement to KCBS Radio, Cummings noted that Elon Musk likely does not understand what Level 5 Automation really is. This is an interesting comment from the director of the Humans and Autonomy Laboratory at Duke University, considering that Waymo CEO John Krafcik noted last year that ultimately, “Level 5 is a bit of a myth.”
“There is no way, shape, or form the car is going to be Level 5. He doesn’t really understand what Level 5 is. I think what he means is Level 4, and he’s not even going to get Level 4. The perception systems don’t work well in weather conditions, with long shadows. We know the Tesla perception system, and the news is it’s a really bad system,” she remarked.
While there is some merit in criticizing the Tesla CEO for missing his targets with regards to the release of the electric car maker’s full self driving system, it seems far too careless to simply dismiss all the work that Tesla has accomplished over the years either. The company, after all, is gathering real world driving data at an unprecedented scale that’s unrivaled by companies like Waymo, and that matters much when it comes to training neural networks, as emphasized by ARK Invest CEO Cathie Wood. Tesla’s vision based approach to autonomy has also gained support from notable names such as George Hotz, who believes that Tesla would eventually become the Apple of self driving cars.
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It is unfortunate, but based on the dismissive and almost aggressive rebuke of Tesla’s efforts from the experts tapped by Automotive News, it appears there is still a general tendency to completely dismiss Elon Musk and his initiatives. Interestingly enough, these statements are pretty familiar to those who have followed the SpaceX and Tesla story over the years. It may be difficult to recall at this point, but there was a time when it was believed that landing the Falcon 9 first stage on land and an autonomous barge on the sea is impossible. There was also a time when the Model X was considered unbuildable.
Fortunately, Tesla and its CEO are a stubborn bunch, and it takes a lot more than skepticism to discourage the company. This is especially notable considering that Tesla is currently looking to roll out a massive rewrite of its Autopilot suite, which should take the company even closer to full self driving. Perhaps this time around, Elon Musk’s statements about Level 5 Autonomy may actually be pretty accurate, at least in terms of its features and timeframe.
“I’m extremely confident that level five or essentially complete autonomy will happen, and I think, will happen very quickly,” said Musk, answering another question. I think at Tesla, I feel like we are very close to level five autonomy. I think—I remain confident that we will have the basic functionality for level five autonomy complete this year,” Musk said at the 2020 WAIC.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
